teradata enterprise data warehouse

In the field of data warehousing, we often hear some personal or organizational debate about the theory of data warehousing, whether it belongs to Bill Inmon or Ralph Kimball faction. Below we will describe the difference between the two. Bill Inmon Paradigm:The Data Warehouse is part of a holistic business intelligen

Book inventory plays an important key business data for warehouse management operations in books. Development at any age now promotes blood circulation in books, book types and update speed are just as fast rising.In order to ensure a foothold in the book industry, to ensure the correct purchase and inventory control and delivery. In order to avoid the backlog of goods, management costs added. However. Trad

Bill Inmon and Ralph Kimball, who were exposed to two names at school, were unfamiliar to most of the two Americans, but they were a resounding figure in the database field. Bill Inmon, known as the "Father of the Data Warehouse", he can now see a lot of scholarly papers and articles on the Web, and Wikipedia's introduction to him should be very comprehensive: in the 80 's, Inmon's "

://en.wikipedia.org/wiki/Data_warehouse In computing, a Data Warehouse (DW or DWH), also known as an enterprise Data Warehouse (EDW), is a system used for reporting and data analysis, and are considered a core component o

method I developed for my own database project (Discover, design, develop, Deploy, day to day, defend, De Commission), nickname "7D method". My "7D" Database Lifecycle management approach is about database lifecycle management, not the lifecycle of related software (applications) and hardware. Figure 1 includes the software and hardware tracks, but I will not elaborate on their management. In order to successfully implement the database lifecycle, it is necessary to adjust and synchronize the

Choosing the right Data warehouse technology is never easy. Whether the traditional enterprise Data Warehouse software or the current very popular data Warehouse integration equipment,

A data warehouse needs to obtain different types of data from different data sources, and convert these huge amounts of data into available data for users, to provide data support for

A data warehouse needs to obtain different types of data from different data sources, and convert these huge amounts of data into available data for users, to provide data support for

With the advent of data warehousing equipment (Warehouse appliance), the potential of business intelligence and advanced analytics applications has been stimulated, and many enterprises will use the advantages of data warehousing technology to enhance their competitiveness. But not to say that integration equipment is omnipotent, it also has many limitations, acc

storage, in the absence of an index in the same case there is no primary key, auto increment field, unsigned.Infobright products are divided into the community version of Ice and Enterprise Edition IEE, which use the engine is BrightHouse, there is no limit on the use of IEE version, but the use of the ice version has 3 restrictions:1, does not support data update, so when importing

Technical Architecture Design of the data warehouse system Author: Cheng Xiaoxu Statement] Because the technical solutions described in this article are derived from online production systems, they will not provide complete and detailed technical solutions, nor provide source code. You are welcome to discuss technical solutions and exchange design experiences. The main function of the

Data Warehouse applications have the ability to capture large amounts of shared information from multiple decentralized departmental systems. They can effectively transform the original data of the organization into useful knowledge information, so the knowledge information can be used for strategic decision support to improve the

enterprise-level geographic database can meet the requirements. However, we recommend that you compress the raster data. If you cannot determine the compression method, use the default lz77 (lossless compression ). 3) data warehouse receiving ArcSDE manages images in two ways: consecutive raster datasets and raster di

Based on the Informix Data Warehouse system implementation methodology, we can divide the implementation of the data warehouse into the following steps: 1. Business Needs analysis Business requirements analysis is the basis of data war